加速数字电路逻辑级仿真的结构合成多输入bdd

Dmitri Mironov, R. Ubar, S. Devadze, J. Raik, A. Jutman
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引用次数: 3

摘要

在现代硬件开发工作中,逻辑仿真是设计工具流的关键组成部分。本文提出了一种新的基于结构合成多输入bdd (SSMIBDD)模型的并行逻辑仿真算法。ssmibdd允许进一步减小模型尺寸,因此比其前身SSBDD模型具有更高的逻辑仿真速度。本文给出了一种基于给定栅极网络的SSMIBDD合成方法,以及SSMIBDD并行逻辑仿真的主要原理。实验数据表明,由于减少了ssmibdd中的节点数量,逻辑仿真速度平均提高了2.9倍。与ssbdd类似,新模型保留了电路的结构信息,这是处理故障所需要的。降低了ssmibdd的复杂度,使得故障崩溃功能更强大,从而可以更有效地进行故障模拟和故障注入,从而评估容错电路的可靠性。
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Structurally Synthesized Multiple Input BDDs for Speeding Up Logic-Level Simulation of Digital Circuits
Logic simulation is a critical component of the design tool flow in modern hardware development efforts. In this paper a new algorithm for parallel logic simulation is proposed based on a new model of Structurally Synthesized Multiple Input BDDs (SSMIBDD). The SSMIBDDs allow further model size reduction and therefore higher speed of logic simulation than its predecessor SSBDD model. The paper presents a method of SSMIBDD synthesis from the given gate network and the main principles of parallel logic simulation with SSMIBDDs. Experimental data demonstrate in average 2.9 times improvement in the speed of logic simulation because of the reduced number of nodes in SSMIBDDs. Similarly to the SSBDDs, the new model preserves structural information about the circuit, which is needed for processing of faults. The reduced complexity of SSMIBDDs leads to the more powerful fault collapsing and as the result to more efficient fault simulation and fault injection to evaluate the dependability of fault tolerant circuits.
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